Whether you agree that Predictive Analytics is the killer app for Industrial IoT or not, there is no arguing the massive amount of innovation coming out of this segment of IoT. Join telcos, vendors, startups, and investors involved in innovation in IoT for technology pitches, demos, case studies, and an expert panel at IoT Forum’s November meeting on Predictive Maintenance.
Silicon Valley, California, Nov 15, 2018/Meeting Recap/ The IoT Forum gathered to discuss the subject of Predictive Maintenance (PM) in the industrial Internet of Things. Our meeting was kindly hosted by Nokia in Sunnyvale, and we braved the traffic and thick, smoky air to hear from some great speakers and companies offering PM and service.
The main objectives of PM is to reduce OpEx through better optimization and maintenance of manufacturing equipment, and through a reduction in malfunctions, stoppages, or shut-downs. Another advantage is increasing the availability of necessary parts or replacements, by advanced knowledge of a specific need.
We learned that the majority of IIoT PM deployments occur in Brownfield environments, where they are retrofitted to existing machinery and equipment. This is more often the case than new equipment, because unlike cellphones, or even cars, manufacturing equipment can have a very long useful life, so modernizing and connecting equipment often means attaching modern sensors and connectivity solutions to existing plant.
The various speakers showed how a full PM solution, including analytics and UI can be deployed on an end device, like a simple vacuum with automated carpet depth and “change filter” lights, to a mid size industrial deployment, where a line machine is equipped with sensors that report status back to a factory-based control room, to a global-scale supply chain, where data gleaned from IIoT sensors around the world can inform global Ops managers the status of their systems, and likely points of failure.
One interesting caveat from the day was the advice to include, in a full PM system, the work of sensor makers, Data Scientists, and operations people, ALL collaborating to the holistically planned solution — YET, NOT to ask one of those groups to do the jobs of the other, for example, don’t ask the Data Scientists to figure out the operations part of the solution, or vice versa.
Once again, thanks to our great speakers, and host Nokia. Members can access today’s presentations in the Member Library.